We consider the following metrics in [1]}, [2]}: The area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPR) and the False Alarm Rate at 90% Recall (FAR90).
Higher AUROC indicates a higher probability that a positive example has a higher score than a false example, which means better accuracy.
AUPR is similar to AUROC, but it also considers the positive class's base rate. Higher AUPR is better. FAR90 measures the probability that a false example raises a false alarm, assuming that 90% of all positive examples are detected. Lower FAR90 is better.
